Advanced Image Coding and its Comparison with Various Still Image Codecs

Radhika Veerla, Zhengbing Zhang, K. R. Rao
2012 American Journal of Signal Processing  
JPEG is a popular DCT-based still image co mpression standard, which has played an important ro le in image storage and transmission since its development. Advanced Image Coding (AIC) is a still image co mpression system which combines the intra frame b lock prediction fro m H.264 with a JPEG-based discrete cosine transform followed by context adaptive binary arith metic coding (CA BAC), with best performance at low bit rates and has better performance than JPEG overall. In this paper, we
more » ... e a modified AIC (M-AIC) by replacing the CABA C in A IC with a Huffman coder and an adaptive arithmet ic coder. The results were compared with other image co mpression techniques like JPEG using baseline method and JPEG2000, JPEG-LS and JPEG-XR in lossy compression, on various sets of test images. Simulat ion results are evaluated in terms of b it-rate, quality-PSNR and structural similarity index (SSIM). The simu lation results based on PSNR demonstrate that M-AIC has optimal performance for images of all resolutions. The performance of still image codecs like M-AIC, JPEG-LS and JPEG-XR does not depend on the image resolution, which makes them suitable for wide varieties of applications. SSIM simulat ion results illustrate that M-AIC, JPEG2000 and JPEG-XR have similar performance and are better than any other codecs.
doi:10.5923/j.ajsp.20120205.04 fatcat:nwlli45hp5cevk5xqboty63hhu